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WAN Reference to Video

AI Generated

Generated on PixelDojo with WAN Reference to Video. Produced by PixelDojo's generation pipeline.

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WAN Reference to Video prices by the second and by which of its three model variants you pick: 1 credit a second for WAN 2.6 Flash, 2 for WAN 2.7 or WAN 2.6 at 720p, 3 at 1080p. We ran the cheapest realistic combination, the WAN 2.7 variant at 720p for 2 seconds with a single reference image, and it charged 4 credits and returned in about 261 seconds on August 26, 2026. This page lays out the full rate table, what a reference-driven request needs, and where it beats a plain image-to-video tool.

The 4 credit clip we timed

Every example below was produced on PixelDojo. Hover to see the prompt.

Slow cinematic camera orbit around the earbuds case, soft studio lighting shifts, the lid opens gently to reveal the earbuds, product commercial style

WAN Reference to Video

Three model variants, three prices

WAN 2.7: 2 credits a second at 720p, 3 at 1080p

The default variant and the best character consistency of the three, per the tool's own variant descriptions. Our test used this one.

WAN 2.6: same rate as WAN 2.7

A prior generation model at an identical 2 or 3 credit per second rate, kept available for single and multi character videos.

WAN 2.6 Flash: 1 credit a second at 720p, 1.5 at 1080p

Half the rate of the other two, described as built for quick previews and drafts rather than a finished shot.

Up to 5 references, image or video

One field, reference_urls, accepts either kind. We sent a single product still, but the same request could carry up to five references at once.

Multi-shot composition

shot_type can be set to multi for a composed sequence across references, which keeps the model's own prompt rewriting on since multi-shot depends on it.

What our clip measured

1280 by 720 pixels, 30 frames a second, exactly 2.00 seconds long, about 0.62 megabytes. We judged it by these render facts rather than by grading the footage.

Three variants, three rates: 1 to 3 credits a second. Our WAN 2.7 test at 720p for 2 seconds: 4 credits, about 261 seconds.

Why Choose Pixel Dojo for WAN Reference to Video

Professional-quality results with cutting-edge AI technology

1 to 3 credits a second, your choice of variant

WAN 2.6 Flash halves the per-second rate of WAN 2.7 or WAN 2.6 when a draft pass is all you need.

4 credits for our cheapest run, measured

WAN 2.7, 720p, 2 seconds, one reference image. Timed on August 26, 2026 from request to finished file.

Up to 5 references in one request

Image or video references, mixed freely in the same reference_urls list, feeding a single generation.

How It Works

How we ran the 4 credit clip:

1

Pick a variant for the rate you want

We used WAN 2.7 at 2 credits a second. Switching to WAN 2.6 Flash would have halved that rate.

2

Send one reference image, or up to five

We passed a single product still through reference_urls. The same field accepts up to five image or video references.

3

Generate in the app or over the API

From the tool page, or POST to /api/v1/models/wan-reference-to-video/run. Ours charged 4 credits and returned in about 261 seconds.

Animate from your own reference images

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Real feedback from people using PixelDojo, pulled from our in-product surveys.

the number of options, and especially the quick response to questions on Discord
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Common Questions

Everything you need to know about WAN Reference to Video

How much does WAN Reference to Video cost?

It depends on the variant and resolution: 1 credit a second for WAN 2.6 Flash at 720p, 2 credits for WAN 2.7 or WAN 2.6 at 720p, and 3 credits at 1080p on the two higher-quality variants. Our 2 second, 720p, WAN 2.7 test cost 4 credits.

How fast is it?

Our August 26, 2026 test, WAN 2.7 at 720p for 2 seconds, took about 261 seconds from request to finished file, run inside a batch alongside four other model tests.

How many reference images can I use?

Up to 5, mixing image and video references in the same request through the reference_urls field. We used one.

What is multi-shot mode?

Setting shot_type to multi asks the model to compose a sequence across your references rather than a single continuous shot. It keeps prompt rewriting on, since the tool's own logic notes multi-shot depends on it.

How is this different from WAN 2.1 Video or WAN 2.2 Plus?

WAN 2.1 Video and WAN 2.2 Plus animate a single starting image at a per-second or flat fee. WAN Reference to Video takes up to 5 references at once and can compose a multi-shot sequence from them, which neither sibling supports.

How do I call it from the API?

POST to /api/v1/models/wan-reference-to-video/run with your API key, a prompt, and reference_urls. Same key and request shape as every other model in the catalog.

Compare it against every video model

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